The probability that the sample proportion surviving for at least 3 years will be less than 67% isO (Round to four decimal places as needed.)

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About 73% of all female heart transplant patients will survive for at least 3 years. Eighty female heart transplant patients are randomly selected. What is the probability that the sample proportion surviving for at least 3 years will be less than 67%? Assume the sampling distribution of sample proportions is a normal distribution.

The mean of the sample proportion is equal to the population proportion, and the standard deviation is equal to:

\[
\sqrt{\frac{pq}{n}}
\]

The probability that the sample proportion surviving for at least 3 years will be less than 67% is [____]. (Round to four decimal places as needed.)

---

**Explanation of Formula:**

- \( p \) represents the population proportion (0.73).
- \( q \) is calculated as \( 1 - p \).
- \( n \) represents the sample size (80).
- The formula \(\sqrt{\frac{pq}{n}}\) is used to calculate the standard deviation of the sample proportion.
Transcribed Image Text:**Text for Educational Website:** About 73% of all female heart transplant patients will survive for at least 3 years. Eighty female heart transplant patients are randomly selected. What is the probability that the sample proportion surviving for at least 3 years will be less than 67%? Assume the sampling distribution of sample proportions is a normal distribution. The mean of the sample proportion is equal to the population proportion, and the standard deviation is equal to: \[ \sqrt{\frac{pq}{n}} \] The probability that the sample proportion surviving for at least 3 years will be less than 67% is [____]. (Round to four decimal places as needed.) --- **Explanation of Formula:** - \( p \) represents the population proportion (0.73). - \( q \) is calculated as \( 1 - p \). - \( n \) represents the sample size (80). - The formula \(\sqrt{\frac{pq}{n}}\) is used to calculate the standard deviation of the sample proportion.
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